# Pragun's Data Handbook

## Docs

- [Column Names](https://handbook.pragunbhutani.com/analytics-engineering/good-conventions/column-names.md)
- [Table Names](https://handbook.pragunbhutani.com/analytics-engineering/good-conventions/table-names.md)
- [Warehouse Layers](https://handbook.pragunbhutani.com/analytics-engineering/good-conventions/warehouse-layers.md)
- [Introduction](https://handbook.pragunbhutani.com/analytics-engineering/introduction.md)
- [Conclusion](https://handbook.pragunbhutani.com/analytics-engineering/modeling-example/conclusion.md)
- [Dimension Tables](https://handbook.pragunbhutani.com/analytics-engineering/modeling-example/dimensions.md)
- [Fact Tables](https://handbook.pragunbhutani.com/analytics-engineering/modeling-example/facts.md)
- [Introduction](https://handbook.pragunbhutani.com/analytics-engineering/modeling-example/introduction.md)
- [Snapshots](https://handbook.pragunbhutani.com/analytics-engineering/modeling-example/snapshots.md)
- [Source Data](https://handbook.pragunbhutani.com/analytics-engineering/modeling-example/source-data.md)
- [Staging Layer](https://handbook.pragunbhutani.com/analytics-engineering/modeling-example/staging.md)
- [Introduction](https://handbook.pragunbhutani.com/data-infrastructure/introduction.md)
- [Business Intelligence](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/business-intelligence.md): Tools for visualizing and analyzing data.
- [Consumer Data Platform](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/consumer-data-platform.md): Consumer data platforms help you collect, unify, and activate customer data from various sources.
- [Data Modeling](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/data-modeling.md): Data modeling tools help you manage your data models and schemas.
- [Data Warehouse](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/data-warehouse.md): Data warehouse tools help you store large volumes of data from various sources and run complex queries on it.
- [Data Ingestion](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/ingestion.md): Data ingestion tools help you collect data from various sources and load it into your data warehouse.
- [Orchestration](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/orchestration.md): Tools for scheduling and managing data pipelines.
- [Product Analytics](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/product-analytics.md): Tools for tracking user behavior and product performance.
- [Reverse ETL](https://handbook.pragunbhutani.com/data-infrastructure/recommended-tools/reverse-etl.md): Reverse ETL tools help you sync data from your data warehouse back to your operational databases and SaaS tools.
- [Starters Guide](https://handbook.pragunbhutani.com/data-infrastructure/starters-guide.md): A step-by-step guide to help you set up your data infrastructure from scratch.
- [Introduction](https://handbook.pragunbhutani.com/home/data-story/introduction.md): A basic orientation for those who are new to the world of data and analytics using a fictional startup called "Jaffle Shop"
- [MVP & Pre-Seed](https://handbook.pragunbhutani.com/home/data-story/pre-seed.md)
- [Seed Stage](https://handbook.pragunbhutani.com/home/data-story/seed.md)
- [Series A](https://handbook.pragunbhutani.com/home/data-story/series-a.md)
- [Series B](https://handbook.pragunbhutani.com/home/data-story/series-b.md)
- [Series C and Beyond](https://handbook.pragunbhutani.com/home/data-story/series-c-plus.md)
- [Business Intelligence](https://handbook.pragunbhutani.com/home/glossary/business-intelligence.md)
- [Data Catalog](https://handbook.pragunbhutani.com/home/glossary/data-catalog.md)
- [Data Platform](https://handbook.pragunbhutani.com/home/glossary/data-platform.md)
- [Data Science & ML](https://handbook.pragunbhutani.com/home/glossary/data-science-and-ml.md)
- [Data Warehouse](https://handbook.pragunbhutani.com/home/glossary/data-warehouse.md)
- [ETL, ELT and Reverse ETL](https://handbook.pragunbhutani.com/home/glossary/etl-elt-reverse-etl.md)
- [Product Analytics](https://handbook.pragunbhutani.com/home/glossary/product-analytics.md)
- [Building Data Teams and Infrastructure](https://handbook.pragunbhutani.com/home/introduction.md): A collection of design principles, strategies and frameworks to help you build data infrastructure and set up data teams.
- [Analytics Event Design](https://handbook.pragunbhutani.com/product-analytics/event-design.md)
- [Introduction](https://handbook.pragunbhutani.com/product-analytics/introduction.md)
- [Amazon Type](https://handbook.pragunbhutani.com/product-analytics/tracking-plan/amazon-type.md): Tracking plan for an e-commerce service like Amazon.
- [Netflix Type](https://handbook.pragunbhutani.com/product-analytics/tracking-plan/netflix-type.md): Tracking plan for a video streaming service like Netflix.

## OpenAPI Specs

- [openapi](https://handbook.pragunbhutani.com/analytics-engineering/openapi.json)